Uses of Interface
fr.cnes.sirius.patrius.math.linear.RealMatrix

Packages that use RealMatrix

Package	Description
fr.cnes.sirius.patrius.covariance
fr.cnes.sirius.patrius.events.detectors
fr.cnes.sirius.patrius.frames
fr.cnes.sirius.patrius.math.distribution
fr.cnes.sirius.patrius.math.filter
fr.cnes.sirius.patrius.math.geometry.euclidean.threed
fr.cnes.sirius.patrius.math.linear
fr.cnes.sirius.patrius.math.optim.joptimizer.algebra
fr.cnes.sirius.patrius.math.optim.joptimizer.functions
fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers
fr.cnes.sirius.patrius.math.optim.joptimizer.solvers
fr.cnes.sirius.patrius.math.optim.joptimizer.util
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar
fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv
fr.cnes.sirius.patrius.math.optim.nonlinear.vector
fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian
fr.cnes.sirius.patrius.math.random	Random number and random data generators.
fr.cnes.sirius.patrius.math.stat.correlation
fr.cnes.sirius.patrius.math.stat.descriptive
fr.cnes.sirius.patrius.math.stat.descriptive.moment
fr.cnes.sirius.patrius.math.stat.regression
fr.cnes.sirius.patrius.orbits
fr.cnes.sirius.patrius.propagation.analytical
fr.cnes.sirius.patrius.propagation.analytical.covariance
fr.cnes.sirius.patrius.signalpropagation

Uses of RealMatrix in fr.cnes.sirius.patrius.covariance

Methods in fr.cnes.sirius.patrius.covariance with parameters of type RealMatrix

Modifier and Type	Method and Description
Covariance	Covariance.quadraticMultiplication(RealMatrix m) Gets the result of the quadratic multiplication M×C×MT, where C is this covariance matrix and M is the provided matrix, and associates the computed matrix with default parameter descriptors.
Covariance	Covariance.quadraticMultiplication(RealMatrix m, boolean isTranspose) Gets the result of the quadratic multiplication M×C×MT, where C is this covariance matrix and M or MT is the provided matrix, and associates the computed matrix with default parameter descriptors.
Covariance	Covariance.quadraticMultiplication(RealMatrix m, Collection<ParameterDescriptor> newParameterDescriptors) Gets the result of the quadratic multiplication M×C×MT, where C is this covariance matrix and M is the provided matrix, and associates the computed matrix with the specified parameter descriptors.
Covariance	Covariance.quadraticMultiplication(RealMatrix m, Collection<ParameterDescriptor> newParameterDescriptors, boolean isTranspose) Gets the result of the quadratic multiplication M×C×MT, where C is this covariance matrix and M or MT is the provided matrix, and associates the computed matrix with the specified parameter descriptors.

Uses of RealMatrix in fr.cnes.sirius.patrius.events.detectors

Methods in fr.cnes.sirius.patrius.events.detectors with parameters of type RealMatrix

Modifier and Type	Method and Description
void	AngularMomentumExcessDetector.setInertia(RealMatrix inertia, Frame frame) Define the inertia matrix (from CoM and in vehicle axis)

Uses of RealMatrix in fr.cnes.sirius.patrius.frames

Methods in fr.cnes.sirius.patrius.frames that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Frame.getTransformJacobian(Frame to, AbsoluteDate date) Compute the Jacobian from current frame to target frame at provided date.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.distribution

Methods in fr.cnes.sirius.patrius.math.distribution that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	MultivariateNormalDistribution.getCovariances() Gets the covariance matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.filter

Methods in fr.cnes.sirius.patrius.math.filter that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	ProcessModel.getControlMatrix() Returns the control matrix.
RealMatrix	DefaultProcessModel.getControlMatrix() Returns the control matrix.
RealMatrix	KalmanFilter.getErrorCovarianceMatrix() Returns a copy of the current error covariance matrix.
RealMatrix	ProcessModel.getInitialErrorCovariance() Returns the initial error covariance matrix.
RealMatrix	DefaultProcessModel.getInitialErrorCovariance() Returns the initial error covariance matrix.
RealMatrix	MeasurementModel.getMeasurementMatrix() Returns the measurement matrix.
RealMatrix	DefaultMeasurementModel.getMeasurementMatrix() Returns the measurement matrix.
RealMatrix	MeasurementModel.getMeasurementNoise() Returns the measurement noise matrix.
RealMatrix	DefaultMeasurementModel.getMeasurementNoise() Returns the measurement noise matrix.
RealMatrix	ProcessModel.getProcessNoise() Returns the process noise matrix.
RealMatrix	DefaultProcessModel.getProcessNoise() Returns the process noise matrix.
RealMatrix	ProcessModel.getStateTransitionMatrix() Returns the state transition matrix.
RealMatrix	DefaultProcessModel.getStateTransitionMatrix() Returns the state transition matrix.

Constructors in fr.cnes.sirius.patrius.math.filter with parameters of type RealMatrix

Constructor and Description
DefaultMeasurementModel(RealMatrix measMatrix, RealMatrix measNoise) Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.
DefaultProcessModel(RealMatrix stateTransition, RealMatrix control, RealMatrix processNoise, RealVector initialStateEstimate, RealMatrix initialErrorCovariance) Create a new ProcessModel, taking double arrays as input parameters.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.geometry.euclidean.threed

Methods in fr.cnes.sirius.patrius.math.geometry.euclidean.threed that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Matrix3D.getRealMatrix()

Constructors in fr.cnes.sirius.patrius.math.geometry.euclidean.threed with parameters of type RealMatrix

Constructor and Description
Matrix3D(RealMatrix matrix) Constructor Creates a Matrix3D with a RealMatrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.linear

Subinterfaces of RealMatrix in fr.cnes.sirius.patrius.math.linear

Modifier and Type	Interface and Description
interface	SymmetricMatrix Interface for symmetric matrices.
interface	SymmetricPositiveMatrix Interface for symmetric positive semi-definite matrices.

Classes in fr.cnes.sirius.patrius.math.linear that implement RealMatrix

Modifier and Type	Class and Description
class	AbstractRealMatrix Basic implementation of RealMatrix methods regardless of the underlying storage.
class	Array2DRowRealMatrix Implementation of RealMatrix using a double[][] array to store entries.
class	ArrayRowSymmetricMatrix Symmetric matrix defined by its lower triangular part.
class	ArrayRowSymmetricPositiveMatrix Symmetric positive semi-definite matrix defined by its lower triangular part.
class	BlockRealMatrix Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
class	DecomposedSymmetricPositiveMatrix Stores a symmetric positive semi-definite matrix as A = B×BT.
class	DiagonalMatrix Diagonal matrix.

Methods in fr.cnes.sirius.patrius.math.linear that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	ArrayRowSymmetricMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	AbstractRealMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	DiagonalMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
static RealMatrix	MatrixUtils.blockInverse(RealMatrix m, int splitIndex) Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m) Diagonally concatenates this matrix and another matrix m, placing it in the lower right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m) Diagonally concatenates this matrix and another matrix m, placing it in the lower right part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m, boolean lowerRightConcatenation) Diagonally concatenates this matrix and another matrix m, placing it in the lower right or upper left part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m, boolean lowerRightConcatenation) Diagonally concatenates this matrix and another matrix m, placing it in the lower right or upper left part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	DiagonalMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix m) Horizontally concatenates this matrix and another matrix m, placing it in the right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix m) Horizontally concatenates this matrix and another matrix m, placing it in the right part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	DiagonalMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
static RealMatrix	MatrixUtils.concatenateHorizontally(RealMatrix left, RealMatrix right) Concatenates two matrices horizontally.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix m) Vertically concatenates this matrix and another matrix m, placing it in the lower part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix m) Vertically concatenates this matrix and another matrix m, placing it in the lower part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	DiagonalMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
static RealMatrix	MatrixUtils.concatenateVertically(RealMatrix upper, RealMatrix lower) Concatenates two matrices vertically.
RealMatrix	Array2DRowRealMatrix.copy() Returns a deep copy of this matrix.
abstract RealMatrix	AbstractRealMatrix.copy() Returns a deep copy of this matrix.
RealMatrix	RealMatrix.copy() Returns a deep copy of this matrix.
static RealMatrix	MatrixUtils.createColumnRealMatrix(double[] columnData) Creates a column RealMatrix using the data from the input array.
RealMatrix	Array2DRowRealMatrix.createMatrix(int rowDimension, int columnDimension) Creates a new matrix of the same type as this matrix.
abstract RealMatrix	AbstractRealMatrix.createMatrix(int rowDimension, int columnDimension) Creates a new matrix of the same type as this matrix.
RealMatrix	RealMatrix.createMatrix(int rowDimension, int columnDimension) Creates a new matrix of the same type as this matrix.
static RealMatrix	MatrixUtils.createRealDiagonalMatrix(double[] diagonal) Returns a diagonal matrix with specified elements.
static RealMatrix	MatrixUtils.createRealIdentityMatrix(int dimension) Returns dimension x dimension identity matrix.
static RealMatrix	MatrixUtils.createRealIdentityMatrix(int dimension, boolean diagonalMatrixInstance) Returns dimension x dimension identity matrix.
static RealMatrix	MatrixUtils.createRealMatrix(double[][] data) Returns a RealMatrix whose entries are the the values in the the input array.
static RealMatrix	MatrixUtils.createRealMatrix(double[][] data, boolean forceCopyArray) Returns a RealMatrix whose entries are the the values in the the input array.
static RealMatrix	MatrixUtils.createRealMatrix(int rows, int columns) Returns a RealMatrix with specified dimensions.
static RealMatrix	MatrixUtils.createRowRealMatrix(double[] rowData) Create a row RealMatrix using the data from the input array.
static RealMatrix	MatrixUtils.deserializeRealMatrix(ObjectInputStream ois) Deserialize a RealMatrix.
static RealMatrix	MatrixUtils.deserializeRealMatrix(String file) Deserialize a RealMatrix.
RealMatrix	AbstractRealMatrix.getAbs() Returns the corresponding absolute values matrix.
RealMatrix	RealMatrix.getAbs() Returns the corresponding absolute values matrix.
RealMatrix	DiagonalMatrix.getAbs() Returns the corresponding absolute values matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getB() Gets the matrix B of the decomposition A = B×BT of this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getBT() Gets the matrix BT of the decomposition A = B×BT of this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getBT(boolean copyMatrix) Gets the matrix BT of the decomposition A = B×BT of this matrix.
RealMatrix	ArrayRowSymmetricMatrix.getColumnMatrix(int column) Gets the entries of a given column as a column matrix.
RealMatrix	AbstractRealMatrix.getColumnMatrix(int column) Gets the entries of a given column as a column matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getColumnMatrix(int column) Gets the entries of a given column as a column matrix.
RealMatrix	RealMatrix.getColumnMatrix(int column) Gets the entries of a given column as a column matrix.
RealMatrix	DiagonalMatrix.getColumnMatrix(int column) Gets the entries of a given column as a column matrix.
RealMatrix	SingularValueDecomposition.getCovariance(double minSingularValue) Returns the n × n covariance matrix.
RealMatrix	UDDecomposition.getD() Returns the matrix D of the decomposition.
RealMatrix	EigenDecomposition.getD() Gets the block diagonal matrix D of the decomposition.
RealMatrix	UDDecompositionImpl.getD() get the D matrix
RealMatrix	QRDecomposition.getH() Returns the Householder reflector vectors.
RealMatrix	AbstractRealMatrix.getInverse() Gets the inverse (or pseudo-inverse) of this matrix using the default decomposition.
RealMatrix	RealMatrix.getInverse() Gets the inverse (or pseudo-inverse) of this matrix using the default decomposition.
RealMatrix	DecompositionSolver.getInverse() Get the inverse (or pseudo-inverse) of the decomposed matrix.
RealMatrix	AbstractRealMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
RealMatrix	RealMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
RealMatrix	LUDecomposition.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecomposition.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyDecomposition.getLT() Returns the transpose of the matrix L of the decomposition.
RealMatrix	LUDecomposition.getP() Returns the P rows permutation matrix.
RealMatrix	QRDecomposition.getQ() Returns the matrix Q of the decomposition.
RealMatrix	QRDecomposition.getQT() Returns the transpose of the matrix Q of the decomposition.
RealMatrix	QRDecomposition.getR() Returns the matrix R of the decomposition.
RealMatrix	QRDecomposition.getR(boolean compactForm) Returns the matrix R of the decomposition in its compact form (n × n) or in its full form (m × n).
RealMatrix	DecomposedSymmetricPositiveMatrix.getResizedB() Gets the matrix B after reducing or extending it to match this matrix's dimensions.
RealMatrix	DecomposedSymmetricPositiveMatrix.getResizedBT() Gets the matrix BT after reducing or extending it to match this matrix's dimensions.
RealMatrix	RectangularCholeskyDecomposition.getRootMatrix() Get the root of the covariance matrix.
RealMatrix	ArrayRowSymmetricMatrix.getRowMatrix(int row) Gets the entries of a given row as a row matrix.
RealMatrix	AbstractRealMatrix.getRowMatrix(int row) Gets the entries of a given row as a row matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getRowMatrix(int row) Gets the entries of a given row as a row matrix.
RealMatrix	RealMatrix.getRowMatrix(int row) Gets the entries of a given row as a row matrix.
RealMatrix	DiagonalMatrix.getRowMatrix(int row) Gets the entries of a given row as a row matrix.
RealMatrix	SingularValueDecomposition.getS() Returns the diagonal matrix Σ of the decomposition.
RealMatrix	EigenDecomposition.getSquareRoot() Computes the square-root of the matrix.
RealMatrix	ArrayRowSymmetricMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	Array2DRowRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	ArrayRowSymmetricPositiveMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	DiagonalMatrix.getSubMatrix(int[] selectedRows, int[] selectedColumns) Gets a submatrix.
RealMatrix	ArrayRowSymmetricMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	Array2DRowRealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	AbstractRealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	ArrayRowSymmetricPositiveMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	RealMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	DiagonalMatrix.getSubMatrix(int startRow, int endRow, int startColumn, int endColumn) Gets a submatrix.
RealMatrix	SingularValueDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	LUDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	UDDecomposition.getU() Returns the matrix U of the decomposition.
RealMatrix	UDDecompositionImpl.getU() Get the U matrix
RealMatrix	SingularValueDecomposition.getUT() Returns the transpose of the matrix U of the decomposition.
RealMatrix	UDDecomposition.getUT() Returns the transpose of the matrix U of the decomposition.
RealMatrix	UDDecompositionImpl.getUT() get the UT matrix
RealMatrix	SingularValueDecomposition.getV() Returns the matrix V of the decomposition.
RealMatrix	EigenDecomposition.getV() Gets the matrix V of the decomposition.
RealMatrix	SingularValueDecomposition.getVT() Returns the transpose of the matrix V of the decomposition.
RealMatrix	EigenDecomposition.getVT() Gets the transpose of the matrix V of the decomposition.
RealMatrix	ArrayRowSymmetricMatrix.multiply(DiagonalMatrix m, double d) Returns the result of postmultiplying this matrix by the diagonal matrix m, then by the scalar d.
RealMatrix	AbstractRealMatrix.multiply(DiagonalMatrix m, double d) Returns the result of postmultiplying this matrix by the diagonal matrix m, then by the scalar d.
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(DiagonalMatrix m, double d) Returns the result of postmultiplying this matrix by the diagonal matrix m, then by the scalar d.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this matrix by the matrix m.
RealMatrix	RealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this matrix by the matrix m.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT.
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT.
RealMatrix	ArrayRowSymmetricMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
static RealMatrix	MatrixUtils.multiplyByTranspose(double alpha, RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT and by a scalar factor α.
static RealMatrix	MatrixUtils.multiplyByTranspose(RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT.
RealMatrix	ArrayRealVector.outerProduct(RealVector v) Compute the outer product.
RealMatrix	RealVector.outerProduct(RealVector v) Compute the outer product.
RealMatrix	RealMatrixFormat.parse(String source) Parse a string to produce a RealMatrix object.
RealMatrix	RealMatrixFormat.parse(String source, ParsePosition pos) Parse a string to produce a RealMatrix object.
RealMatrix	AbstractRealMatrix.power(int p) Returns the the result of multiplying this matrix with itself p times.
RealMatrix	RealMatrix.power(int p) Returns the the result of multiplying this matrix with itself p times.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this matrix by the matrix m.
RealMatrix	RealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this matrix by the matrix m.
static RealMatrix	MatrixUtils.resize(RealMatrix matrix, int rowDim, int colDim) Resizes the provided matrix to a NxM matrix.
RealMatrix	AbstractRealMatrix.scalarAdd(double d) Returns the result of adding a scalar d to the entries of this matrix.
RealMatrix	RealMatrix.scalarAdd(double d) Returns the result of adding a scalar d to the entries of this matrix.
RealMatrix	AbstractRealMatrix.scalarMultiply(double d) Returns the result of multiplying the entries of this matrix by the scalar d.
RealMatrix	RealMatrix.scalarMultiply(double d) Returns the result of multiplying the entries of this matrix by the scalar d.
RealMatrix	DecompositionSolver.solve(RealMatrix b) Solve the linear equation A × X = B for matrices A.
RealMatrix	ArrayRowSymmetricMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	DiagonalMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	Array2DRowRealMatrix.transpose() Returns the transpose of this matrix.
RealMatrix	AbstractRealMatrix.transpose() Returns the transpose of this matrix.
RealMatrix	RealMatrix.transpose() Returns the transpose of this matrix.
RealMatrix	AbstractRealMatrix.transpose(boolean forceCopy) Returns the transpose of this matrix.
RealMatrix	RealMatrix.transpose(boolean forceCopy) Returns the transpose of this matrix.

Methods in fr.cnes.sirius.patrius.math.linear that return types with arguments of type RealMatrix

Modifier and Type	Method and Description
static Function<RealMatrix,Decomposition>	SingularValueDecomposition.decompositionBuilder() Builder for decomposition.
static Function<RealMatrix,Decomposition>	QRDecomposition.decompositionBuilder(double thresholdIn) Builder for decomposition.
static Function<RealMatrix,Decomposition>	LUDecomposition.decompositionBuilder(double singularityThreshold) Builder for decomposition.
static Function<RealMatrix,Decomposition>	EigenDecomposition.decompositionBuilder(double relativeSymmetryThreshold) Builder for decomposition.
static Function<RealMatrix,Decomposition>	UDDecompositionImpl.decompositionBuilder(double relativeSymmetryThreshold, double absolutePositivityThreshold) Builder for decomposition.
static Function<RealMatrix,Decomposition>	CholeskyDecomposition.decompositionBuilder(double relativeSymmetryThreshold, double absolutePositivityThreshold) Builder for decomposition.
Function<RealMatrix,Decomposition>	AbstractRealMatrix.getDefaultDecomposition() Gets the decomposition builder the getInverse() method uses by default when computing the inverse of the matrix.
Function<RealMatrix,Decomposition>	RealMatrix.getDefaultDecomposition() Gets the decomposition builder the getInverse() method uses by default when computing the inverse of the matrix.

Methods in fr.cnes.sirius.patrius.math.linear with parameters of type RealMatrix

Modifier and Type	Method and Description
RealMatrix	ArrayRowSymmetricMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
BlockRealMatrix	BlockRealMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	AbstractRealMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	RealMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
RealMatrix	DiagonalMatrix.add(RealMatrix m) Returns the result of adding the matrix m to this matrix.
static RealMatrix	MatrixUtils.blockInverse(RealMatrix m, int splitIndex) Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
protected static void	ArrayRowSymmetricMatrix.checkMatrix(RealMatrix matrix) Ensures the provided matrix is not null and is a square matrix.
static void	MatrixUtils.checkSymmetric(RealMatrix matrix, double eps) Checks whether a matrix is symmetric.
static void	MatrixUtils.checkSymmetry(RealMatrix matrix, double absTol, double relTol) Checks if the matrix is symmetric and throws an exception if that's not the case.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m) Diagonally concatenates this matrix and another matrix m, placing it in the lower right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m) Diagonally concatenates this matrix and another matrix m, placing it in the lower right part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m, boolean lowerRightConcatenation) Diagonally concatenates this matrix and another matrix m, placing it in the lower right or upper left part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m, boolean lowerRightConcatenation) Diagonally concatenates this matrix and another matrix m, placing it in the lower right or upper left part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	AbstractRealMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	RealMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	DiagonalMatrix.concatenateDiagonally(RealMatrix m, boolean rightConcatenation, boolean lowerConcatenation) Diagonally or anti-diagonally concatenates this matrix and another matrix m.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix m) Horizontally concatenates this matrix and another matrix m, placing it in the right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix m) Horizontally concatenates this matrix and another matrix m, placing it in the right part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
RealMatrix	DiagonalMatrix.concatenateHorizontally(RealMatrix m, boolean rightConcatenation) Horizontally concatenates this matrix and another matrix m, , placing it in the left or right part of the concatenated matrix.
static RealMatrix	MatrixUtils.concatenateHorizontally(RealMatrix left, RealMatrix right) Concatenates two matrices horizontally.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix m) Vertically concatenates this matrix and another matrix m, placing it in the lower part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix m) Vertically concatenates this matrix and another matrix m, placing it in the lower part of the concatenated matrix.
RealMatrix	ArrayRowSymmetricMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	AbstractRealMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	RealMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
RealMatrix	DiagonalMatrix.concatenateVertically(RealMatrix m, boolean lowerConcatenation) Vertically concatenates this matrix and another matrix m, placing it in the lower or upper part of the concatenated matrix.
static RealMatrix	MatrixUtils.concatenateVertically(RealMatrix upper, RealMatrix lower) Concatenates two matrices vertically.
boolean	AbstractRealMatrix.equals(RealMatrix m, double relativeThreshold, double absoluteThreshold) Is this matrix numerically equivalent to another matrix?
boolean	RealMatrix.equals(RealMatrix m, double relativeTolerance, double absoluteTolerance) Is this matrix numerically equivalent to another matrix?
String	RealMatrixFormat.format(RealMatrix m) This method calls RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition).
StringBuffer	RealMatrixFormat.format(RealMatrix matrix, StringBuffer toAppendTo, FieldPosition pos) Formats a RealMatrix object to produce a string.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this matrix by the matrix m.
RealMatrix	RealMatrix.multiply(RealMatrix m) Returns the result of postmultiplying this matrix by the matrix m.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT.
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT.
RealMatrix	ArrayRowSymmetricMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	BlockRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	Array2DRowRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	AbstractRealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	DecomposedSymmetricPositiveMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	RealMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
RealMatrix	DiagonalMatrix.multiply(RealMatrix m, boolean toTranspose, double d) Returns the result of postmultiplying this matrix by the matrix m or its transpose mT, then by the scalar d.
static RealMatrix	MatrixUtils.multiplyByTranspose(double alpha, RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT and by a scalar factor α.
static RealMatrix	MatrixUtils.multiplyByTranspose(RealMatrix matrixL, RealMatrix matrixR) Multiplies the matrix L by RT.
RealMatrix	AbstractRealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this matrix by the matrix m.
RealMatrix	RealMatrix.preMultiply(RealMatrix m) Returns the result of premultiplying this matrix by the matrix m.
ArrayRowSymmetricMatrix	ArrayRowSymmetricMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
SymmetricPositiveMatrix	SymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
SymmetricMatrix	SymmetricMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
ArrayRowSymmetricPositiveMatrix	ArrayRowSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
DecomposedSymmetricPositiveMatrix	DecomposedSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
ArrayRowSymmetricMatrix	DiagonalMatrix.quadraticMultiplication(RealMatrix m) Returns the result of the quadratic multiplication M×this×MT, where M is the provided matrix.
ArrayRowSymmetricMatrix	ArrayRowSymmetricMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
SymmetricPositiveMatrix	SymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
SymmetricMatrix	SymmetricMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
ArrayRowSymmetricPositiveMatrix	ArrayRowSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
DecomposedSymmetricPositiveMatrix	DecomposedSymmetricPositiveMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
ArrayRowSymmetricMatrix	DiagonalMatrix.quadraticMultiplication(RealMatrix m, boolean isTranspose) Returns the result of the quadratic multiplication M×this×MT, where M or MT is the provided matrix.
static RealMatrix	MatrixUtils.resize(RealMatrix matrix, int rowDim, int colDim) Resizes the provided matrix to a NxM matrix.
static void	MatrixUtils.serializeRealMatrix(RealMatrix matrix, ObjectOutputStream oos) Serialize a RealMatrix.
static void	MatrixUtils.serializeRealMatrix(RealMatrix matrix, String file) Serialize a RealMatrix.
void	BlockRealMatrix.setColumnMatrix(int column, RealMatrix matrix) Replaces the entries of a given column with the entries of the specified column matrix.
void	AbstractRealMatrix.setColumnMatrix(int column, RealMatrix matrix) Replaces the entries of a given column with the entries of the specified column matrix.
void	ArrayRowSymmetricPositiveMatrix.setColumnMatrix(int column, RealMatrix matrix) Replaces the entries of a given column with the entries of the specified column matrix.
void	DecomposedSymmetricPositiveMatrix.setColumnMatrix(int column, RealMatrix matrix) Replaces the entries of a given column with the entries of the specified column matrix.
void	RealMatrix.setColumnMatrix(int column, RealMatrix matrix) Replaces the entries of a given column with the entries of the specified column matrix.
void	BlockRealMatrix.setRowMatrix(int row, RealMatrix matrix) Replaces the entries of a given row with the entries of the specified row matrix.
void	AbstractRealMatrix.setRowMatrix(int row, RealMatrix matrix) Replaces the entries of a given row with the entries of the specified row matrix.
void	ArrayRowSymmetricPositiveMatrix.setRowMatrix(int row, RealMatrix matrix) Replaces the entries of a given row with the entries of the specified row matrix.
void	DecomposedSymmetricPositiveMatrix.setRowMatrix(int row, RealMatrix matrix) Replaces the entries of a given row with the entries of the specified row matrix.
void	RealMatrix.setRowMatrix(int row, RealMatrix matrix) Replaces the entries of a given row with the entries of the specified row matrix.
RealMatrix	DecompositionSolver.solve(RealMatrix b) Solve the linear equation A × X = B for matrices A.
static void	MatrixUtils.solveLowerTriangularSystem(RealMatrix rm, RealVector b) Solve a system of composed of a Lower Triangular Matrix RealMatrix.
static void	MatrixUtils.solveUpperTriangularSystem(RealMatrix rm, RealVector b) Solver a system composed of an Upper Triangular Matrix RealMatrix.
RealMatrix	ArrayRowSymmetricMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
BlockRealMatrix	BlockRealMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	AbstractRealMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	DecomposedSymmetricPositiveMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	RealMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
RealMatrix	DiagonalMatrix.subtract(RealMatrix m) Returns the result of subtracting the matrix m from this matrix.
static void	MatrixUtils.writeMatrix(RealMatrix matrix, String outputFileName) Utility function to print a matrix in a file with the machine precision.
static void	MatrixUtils.writeMatrix(RealMatrix matrix, String outputFileName, String numberFormat) Utility function to print a matrix in a file with the provided format.
static void	MatrixUtils.writeMatrixStructure(RealMatrix matrix, String outputFileName) Utility function to print a matrix in a file to see its structure (for example for sparse matrices).

Method parameters in fr.cnes.sirius.patrius.math.linear with type arguments of type RealMatrix

Modifier and Type	Method and Description
ArrayRowSymmetricMatrix	ArrayRowSymmetricMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
SymmetricPositiveMatrix	SymmetricPositiveMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
SymmetricMatrix	SymmetricMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
RealMatrix	AbstractRealMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
ArrayRowSymmetricPositiveMatrix	ArrayRowSymmetricPositiveMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
DecomposedSymmetricPositiveMatrix	DecomposedSymmetricPositiveMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse of the matrix.
RealMatrix	RealMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
DiagonalMatrix	DiagonalMatrix.getInverse(Function<RealMatrix,Decomposition> decompositionBuilder) Gets the inverse (or pseudo-inverse) of this matrix using the given decomposition algorithm.
void	AbstractRealMatrix.setDefaultDecomposition(Function<RealMatrix,Decomposition> defaultDecompositionBuilder) Sets the decomposition builder the getInverse() method should use by default when computing the inverse of the matrix.
void	RealMatrix.setDefaultDecomposition(Function<RealMatrix,Decomposition> defaultDecompositionBuilder) Sets the decomposition builder the getInverse() method should use by default when computing the inverse of the matrix.

Constructors in fr.cnes.sirius.patrius.math.linear with parameters of type RealMatrix

Constructor and Description
ArrayRowSymmetricMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix) Builds a new ArrayRowSymmetricMatrix from the provided matrix, using the default symmetry thresholds.
ArrayRowSymmetricMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix, Double absoluteSymmetryThreshold, Double relativeSymmetryThreshold) Builds a new ArrayRowSymmetricMatrix from the provided matrix, using the specified symmetry thresholds.
ArrayRowSymmetricPositiveMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix) Builds a new ArrayRowSymmetricPositiveMatrix from the provided matrix, using the default symmetry and positivity thresholds.
ArrayRowSymmetricPositiveMatrix(ArrayRowSymmetricMatrix.SymmetryType symmetryType, RealMatrix matrix, Double absoluteSymmetryThreshold, Double relativeSymmetryThreshold, Double absolutePositivityThreshold, Double relativePositivityThreshold) Builds a new ArrayRowSymmetricPositiveMatrix from the provided matrix, using the specified symmetry and positivity thresholds.
CholeskyDecomposition(RealMatrix matrix) Calling this constructor is equivalent to call CholeskyDecomposition.CholeskyDecomposition(RealMatrix, double, double) with the thresholds set to the default values CholeskyDecomposition.DEFAULT_RELATIVE_SYMMETRY_THRESHOLD and CholeskyDecomposition.DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD
CholeskyDecomposition(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold) Constructor used to set the relative & absolute thresholds.
DecomposedSymmetricPositiveMatrix(RealMatrix matrixBTranspose) Builds a new SymmetricPositiveMatrix by specifying a matrix BT which satisfies A = B×BT.
DecomposedSymmetricPositiveMatrix(RealMatrix matrixBTranspose, boolean copyMatrix) Builds a new SymmetricPositiveMatrix by specifying a matrix BT which satisfies A = B×BT.
EigenDecomposition(RealMatrix matrix) Calculates the eigen decomposition of the given real matrix.
EigenDecomposition(RealMatrix matrix, double relativeSymmetryThreshold) Calculates the eigen decomposition of the given real matrix.
LUDecomposition(RealMatrix matrix) Simple constructor.
LUDecomposition(RealMatrix matrix, double singularityThreshold) Constructor used to set the singularity threshold.
QRDecomposition(RealMatrix matrix) Simple constructor.
QRDecomposition(RealMatrix matrix, double thresholdIn) Constructor used to set the singularity threshold.
RectangularCholeskyDecomposition(RealMatrix matrix) Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix matrix, double small) Decompose a symmetric positive semidefinite matrix.
SingularValueDecomposition(RealMatrix matrix) Simple constructor.
UDDecompositionImpl(RealMatrix matrix) Calling this constructor is equivalent to call UDDecompositionImpl.UDDecompositionImpl(RealMatrix, double, double) with the thresholds set to the default values UDDecompositionImpl.DEFAULT_RELATIVE_SYMMETRY_THRESHOLD and UDDecompositionImpl.DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD.
UDDecompositionImpl(RealMatrix matrix, double relativeSymmetryThreshold, double absolutePositivityThreshold) Constructor used to set the relative & absolute thresholds.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	AlgebraUtils.add(RealMatrix a, RealMatrix b, double beta) Returns C = A + beta * B (linear combination).
static RealMatrix	AlgebraUtils.composeMatrix(RealMatrix[][] parts) Constructs a block matrix made from the given parts.
static RealMatrix	AlgebraUtils.diagonal(RealVector vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealMatrix a, RealVector diagonalU) Return A.diagonalU with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a) Return diagonalU.A with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a, RealVector diagonalV) Return diagonalU.A.diagonalV with diagonalU and diagonalV diagonal.
static RealMatrix	AlgebraUtils.fillSubdiagonalSymmetricMatrix(RealMatrix s) Given a symm matrix S that stores just its subdiagonal elements, reconstructs the full symmetric matrix.
RealMatrix	CholeskyFactorization.getInverse() Compute the inverse of the matrix.
RealMatrix	CholeskyFactorization.getL() Returns the matrix L of the decomposition.
RealMatrix	CholeskyFactorization.getLT() Returns the transpose of the matrix L of the decomposition.
RealMatrix	CholeskyFactorization.solve(RealMatrix b) Solver for system AX = b.
static RealMatrix	AlgebraUtils.subdiagonalMultiply(RealMatrix a, RealMatrix b) Return the sub-diagonal result of the multiplication.

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra with parameters of type RealMatrix

Modifier and Type	Method and Description
static RealMatrix	AlgebraUtils.add(RealMatrix a, RealMatrix b, double beta) Returns C = A + beta * B (linear combination).
static void	AlgebraUtils.checkRectangularShape(RealMatrix[][] array) Checks whether the given array is rectangular, that is, whether all rows have the same number of columns.
boolean	MatrixRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
boolean	Matrix1NornRescaler.checkScaling(RealMatrix aOriginal, RealVector u, RealVector v) Check if the scaling algorithm returned proper results.
static RealMatrix	AlgebraUtils.composeMatrix(RealMatrix[][] parts) Constructs a block matrix made from the given parts.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealMatrix a, RealVector diagonalU) Return A.diagonalU with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a) Return diagonalU.A with diagonalU diagonal.
static RealMatrix	AlgebraUtils.diagonalMatrixMult(RealVector diagonalU, RealMatrix a, RealVector diagonalV) Return diagonalU.A.diagonalV with diagonalU and diagonalV diagonal.
static RealMatrix	AlgebraUtils.fillSubdiagonalSymmetricMatrix(RealMatrix s) Given a symm matrix S that stores just its subdiagonal elements, reconstructs the full symmetric matrix.
static double[]	AlgebraUtils.getConditionNumberRange(RealMatrix a, int p) Returns a lower and an upper bound for the condition number kp(A) = Norm[A, p] / Norm[A^-1, p] where Norm[A, p] = sup ( Norm[A.x, p]/Norm[x, p] , x !=0 ) for a matrix and Norm[x, 1] := Sum[MathLib.abs(x[i]), i] Norm[x, 2] := MathLib.sqrt(Sum[MathLib.pow(x[i], 2), i]) Norm[x, 00] := Max[MathLib.abs(x[i]), i] for a vector.
RealVector[]	MatrixRescaler.getMatrixScalingFactors(RealMatrix a) Calculates the R and T scaling factors (matrices) for a generic matrix A so that A'(=scaled A) = R.A.T
RealVector[]	Matrix1NornRescaler.getMatrixScalingFactors(RealMatrix a) Scaling factors for not singular matrices.
RealVector	MatrixRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Calculates the R and T scaling factors (matrices) for a symmetric matrix A so that A'(=scaled A) = R.A.T
RealVector	Matrix1NornRescaler.getMatrixScalingFactorsSymm(RealMatrix a) Scaling factors for symmetric (not singular) matrices.
static double	Matrix1NornRescaler.getRowInfinityNorm(RealMatrix aSymm, int r)
RealMatrix	CholeskyFactorization.solve(RealMatrix b) Solver for system AX = b.
static RealMatrix	AlgebraUtils.subdiagonalMultiply(RealMatrix a, RealMatrix b) Return the sub-diagonal result of the multiplication.
static RealVector	AlgebraUtils.zMult(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A.a + beta*b.
static RealVector	AlgebraUtils.zMultTranspose(RealMatrix matA, RealVector a, RealVector b, double beta) Returns v = A[T].a + beta*b.

Constructors in fr.cnes.sirius.patrius.math.optim.joptimizer.algebra with parameters of type RealMatrix

Constructor and Description
CholeskyFactorization(RealMatrix matQ) Constructor defining matrix Q, and null rescaler (to avoid rescaling)
CholeskyFactorization(RealMatrix matQ, MatrixRescaler res) Constructor defining matrix Q and rescaler

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.functions

Fields in fr.cnes.sirius.patrius.math.optim.joptimizer.functions declared as RealMatrix

Modifier and Type	Field and Description
protected RealMatrix	QuadraticMultivariateRealFunction.p Quadratic factor.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers that return RealMatrix

Modifier and Type	Method and Description
protected RealMatrix	OptimizationRequestHandler.getA() Get the equalities constraints matrix
RealMatrix	OptimizationRequest.getA() Get the equalities constraints matrix
protected RealMatrix	OptimizationRequestHandler.getAT() Get the equalities constraints matrix transposed
RealMatrix	LPOptimizationRequest.getG() Get the linear inequalities constraints matrix
protected RealMatrix	AbstractLPOptimizationRequestHandler.getG() Get the linear inequalities constraints matrix
protected RealMatrix	OptimizationRequestHandler.getGradFi(RealVector vecX) Inequality functions gradients values at X.
protected RealMatrix	LPPrimalDualMethod.getGradFi(RealVector x) Inequality functions gradients values at X.
protected RealMatrix	BarrierMethod.getGradFi(RealVector x) Use the barrier function instead.
protected RealMatrix	OptimizationRequestHandler.getHessF0(RealVector x) Objective function hessian at X.
protected RealMatrix	LPPrimalDualMethod.getHessF0(RealVector x) Objective function hessian at X.
protected RealMatrix[]	OptimizationRequestHandler.getHessFi(RealVector vecX) Inequality functions hessians values at X.
RealMatrix[]	LPPrimalDualMethod.getHessFi(RealVector x) Inequality functions hessians values at X.
RealMatrix[]	BarrierMethod.getHessFi(RealVector x) Use the barrier function instead.
RealMatrix	LPPresolver.getPresolvedA() Get the presolved matrix A
RealMatrix	LPStandardConverter.getStandardA() Get the final equalities constraints coefficients
protected RealMatrix	LPPrimalDualMethod.gradLSum(RealVector l, RealVector fiX) Return the H matrix (that is diagonal).

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.optimizers with parameters of type RealMatrix

Modifier and Type	Method and Description
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
protected RealVector	OptimizationRequestHandler.findEqFeasiblePoint2(RealMatrix aMatrix, RealVector bVector) Find a solution of the linear (equalities) system A.x = b.
void	LPPresolver.presolve(RealVector originalC, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Presolve
void	OptimizationRequest.setA(RealMatrix a) Set the equalities constraints matrix
void	LPOptimizationRequest.setG(RealMatrix matG) Set the linear inequalities constraints matrix
void	LPStandardConverter.toStandardForm(RealVector originalC, RealMatrix originalG, RealVector originalH, RealMatrix originalA, RealVector originalB, RealVector originalLB, RealVector originalUB) Transforms the problem from a general form to the (quasi) standard LP form.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers

Fields in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers declared as RealMatrix

Modifier and Type	Field and Description
protected RealMatrix	AbstractKKTSolver.matA Matrix A
protected RealMatrix	AbstractKKTSolver.matAT Transpose A matrix
protected RealMatrix	AbstractKKTSolver.matH Matrix H

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.solvers with parameters of type RealMatrix

Modifier and Type	Method and Description
void	AbstractKKTSolver.setAMatrix(RealMatrix aMatrix) Set the A matrix
void	AbstractKKTSolver.setHMatrix(RealMatrix hMatrix) Set the H matrix

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.joptimizer.util

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.util that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	Utils.randomValuesMatrix(int rows, int cols, double min, double max, Long seed) Returns matrix filled with random values.
static RealMatrix	Utils.randomValuesPositiveMatrix(int rows, int cols, double min, double max, Long seed) Returns matrix filled with random positive values.

Methods in fr.cnes.sirius.patrius.math.optim.joptimizer.util with parameters of type RealMatrix

Modifier and Type	Method and Description
static double	Utils.calculateScaledResidual(RealMatrix a, RealMatrix x, RealMatrix b) Calculate the scaled residual ||Ax-b||_oo/( ||A||_oo .
static double	Utils.calculateScaledResidual(RealMatrix a, RealVector x, RealVector b) Calculate the scaled residual ||Ax-b||_oo/( ||A||_oo .

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar with parameters of type RealMatrix

Constructor and Description
LeastSquaresConverter(MultivariateVectorFunction functionIn, double[] observationsIn, RealMatrix scaleIn) Builds a simple converter for correlated residuals with the specified weights.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.scalar.noderiv that return types with arguments of type RealMatrix

Modifier and Type	Method and Description
List<RealMatrix>	CMAESOptimizer.getStatisticsDHistory()
List<RealMatrix>	CMAESOptimizer.getStatisticsMeanHistory()

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.vector

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	MultivariateVectorOptimizer.getWeight() Gets the weight matrix of the observations.
RealMatrix	Weight.getWeight() Gets the initial guess.

Constructors in fr.cnes.sirius.patrius.math.optim.nonlinear.vector with parameters of type RealMatrix

Constructor and Description
Weight(RealMatrix weight)

Uses of RealMatrix in fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian

Methods in fr.cnes.sirius.patrius.math.optim.nonlinear.vector.jacobian that return RealMatrix

Modifier and Type	Method and Description
protected RealMatrix	AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[] params) Computes the weighted Jacobian matrix.
RealMatrix	AbstractLeastSquaresOptimizer.getWeightSquareRoot() Gets the square-root of the weight matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.random

Methods in fr.cnes.sirius.patrius.math.random that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	UniformlyCorrelatedRandomVectorGenerator.getRootMatrix() Get the root of the correlation matrix.
RealMatrix	CorrelatedRandomVectorGenerator.getRootMatrix() Get the root of the covariance matrix.

Constructors in fr.cnes.sirius.patrius.math.random with parameters of type RealMatrix

Constructor and Description
CorrelatedRandomVectorGenerator(double[] meanIn, RealMatrix covariance, double small, NormalizedRandomGenerator generatorIn) Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator generatorIn) Builds a null mean random correlated vector generator from its covariance matrix.
UniformlyCorrelatedRandomVectorGenerator(double[] aMean, RealMatrix covariance, double small, NormalizedRandomGenerator aGenerator) Builds a correlated random vector generator from its mean vector and covariance matrix.
UniformlyCorrelatedRandomVectorGenerator(RealMatrix covariance, double small, NormalizedRandomGenerator aGenerator) Builds a null mean random correlated vector generator from its covariance matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.correlation

Methods in fr.cnes.sirius.patrius.math.stat.correlation that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(double[][] data) Computes the correlation matrix for the columns of the input rectangular array.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(double[][] matrix) Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(RealMatrix matrix) Computes the correlation matrix for the columns of the input matrix.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(RealMatrix matrix) Computes the Spearman's rank correlation matrix for the columns of the input matrix.
protected RealMatrix	Covariance.computeCovarianceMatrix(double[][] data) Create a covariance matrix from a rectangular array whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(double[][] data, boolean biasCorrected) Compute a covariance matrix from a rectangular array whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix) Create a covariance matrix from a matrix whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix, boolean biasCorrected) Compute a covariance matrix from a matrix whose columns represent covariates.
RealMatrix	PearsonsCorrelation.covarianceToCorrelation(RealMatrix covarianceMatrix) Derives a correlation matrix from a covariance matrix.
RealMatrix	PearsonsCorrelation.getCorrelationMatrix() Returns the correlation matrix
RealMatrix	SpearmansCorrelation.getCorrelationMatrix() Calculate the Spearman Rank Correlation Matrix.
RealMatrix	PearsonsCorrelation.getCorrelationPValues() Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
RealMatrix	PearsonsCorrelation.getCorrelationStandardErrors() Returns a matrix of standard errors associated with the estimates in the correlation matrix. getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
RealMatrix	Covariance.getCovarianceMatrix() Returns the covariance matrix
RealMatrix	StorelessCovariance.getCovarianceMatrix() Returns the covariance matrix

Methods in fr.cnes.sirius.patrius.math.stat.correlation with parameters of type RealMatrix

Modifier and Type	Method and Description
RealMatrix	PearsonsCorrelation.computeCorrelationMatrix(RealMatrix matrix) Computes the correlation matrix for the columns of the input matrix.
RealMatrix	SpearmansCorrelation.computeCorrelationMatrix(RealMatrix matrix) Computes the Spearman's rank correlation matrix for the columns of the input matrix.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix) Create a covariance matrix from a matrix whose columns represent covariates.
protected RealMatrix	Covariance.computeCovarianceMatrix(RealMatrix matrix, boolean biasCorrected) Compute a covariance matrix from a matrix whose columns represent covariates.
RealMatrix	PearsonsCorrelation.covarianceToCorrelation(RealMatrix covarianceMatrix) Derives a correlation matrix from a covariance matrix.

Constructors in fr.cnes.sirius.patrius.math.stat.correlation with parameters of type RealMatrix

Constructor and Description
Covariance(RealMatrix matrix) Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix matrix, boolean biasCorrected) Create a covariance matrix from a matrix whose columns represent covariates.
PearsonsCorrelation(RealMatrix matrix) Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(RealMatrix covarianceMatrix, int numberOfObservations) Create a PearsonsCorrelation from a covariance matrix.
SpearmansCorrelation(RealMatrix dataMatrix) Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix dataMatrix, RankingAlgorithm rankingAlgorithmIn) Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.descriptive

Methods in fr.cnes.sirius.patrius.math.stat.descriptive that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	MultivariateSummaryStatistics.getCovariance() Returns the covariance matrix of the values that have been added.
RealMatrix	StatisticalMultivariateSummary.getCovariance() Returns the covariance of the available values.
RealMatrix	SynchronizedMultivariateSummaryStatistics.getCovariance() Returns the covariance matrix of the values that have been added.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.descriptive.moment

Methods in fr.cnes.sirius.patrius.math.stat.descriptive.moment that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	VectorialCovariance.getResult() Get the covariance matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.math.stat.regression

Methods in fr.cnes.sirius.patrius.math.stat.regression that return RealMatrix

Modifier and Type	Method and Description
protected RealMatrix	OLSMultipleLinearRegression.calculateBetaVariance() Calculates the variance-covariance matrix of the regression parameters.
protected abstract RealMatrix	AbstractMultipleLinearRegression.calculateBetaVariance() Calculates the beta variance of multiple linear regression in matrix notation.
protected RealMatrix	GLSMultipleLinearRegression.calculateBetaVariance() Calculates the variance on the beta.
RealMatrix	OLSMultipleLinearRegression.calculateHat() Compute the "hat" matrix.
protected RealMatrix	GLSMultipleLinearRegression.getOmegaInverse() Get the inverse of the covariance.
protected RealMatrix	AbstractMultipleLinearRegression.getX()

Uses of RealMatrix in fr.cnes.sirius.patrius.orbits

Methods in fr.cnes.sirius.patrius.orbits that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	Orbit.getJacobian(double dt, Frame initFrame, Frame destFrame, OrbitType initOrbitType, OrbitType destOrbitType, PositionAngle initAngleType, PositionAngle destAngleType) Computes the Jacobian of the transformation between the specified frames, orbit types and position angle types with respect to this orbit and specified time shift.
RealMatrix	Orbit.getJacobian(Frame initFrame, Frame destFrame, OrbitType initOrbitType, OrbitType destOrbitType, PositionAngle initAngleType, PositionAngle destAngleType) Computes the Jacobian of the transformation between the specified frames, orbit types and position angle types with respect to this orbit.
RealMatrix	Orbit.getJacobian(OrbitType numerator, OrbitType denominator) Get coordinate conversion jacobian.
RealMatrix	Orbit.getJacobian(OrbitType numerator, OrbitType denominator, PositionAngle positionAngle) Get coordinate conversion jacobian.
RealMatrix	Orbit.getKeplerianTransitionMatrix(double dt) Get keplerian transition matrix.

Uses of RealMatrix in fr.cnes.sirius.patrius.propagation.analytical

Methods in fr.cnes.sirius.patrius.propagation.analytical that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	J2SecularPropagator.getTransitionMatrix(AbsoluteDate date) Compute transition matrix for given date.

Uses of RealMatrix in fr.cnes.sirius.patrius.propagation.analytical.covariance

Methods in fr.cnes.sirius.patrius.propagation.analytical.covariance that return RealMatrix

Modifier and Type	Method and Description
static RealMatrix	CovarianceInterpolation.createDiagonalMatrix(int dim, double coef) Creates a diagonal square matrix of dimension dim equals to coef * identity (dim)
RealMatrix	CovarianceInterpolation.getFirstCovarianceMatrix()
RealMatrix	CovarianceInterpolation.getSecondCovarianceMatrix()
RealMatrix	CovarianceInterpolation.interpolate(AbsoluteDate t) Computes the interpolation of a covariance matrix based on its two surrounding covariance matrices which define the interpolation interval allowed.

Methods in fr.cnes.sirius.patrius.propagation.analytical.covariance with parameters of type RealMatrix

Modifier and Type	Method and Description
void	CovarianceInterpolation.setFirstCovarianceMatrix(RealMatrix covMatrix, AbsoluteDate t) Allows to change the CovarianceMatrix standing for the lower bound of the interpolation interval, associated with t1.
void	CovarianceInterpolation.setSecondCovarianceMatrix(RealMatrix covMatrix, AbsoluteDate t) Allows to change the CovarianceMatrix standing for the upper bound of the interpolation interval, associated with t2.

Constructors in fr.cnes.sirius.patrius.propagation.analytical.covariance with parameters of type RealMatrix

Constructor and Description
CovarianceInterpolation(AbsoluteDate t1In, RealMatrix matrix1, AbsoluteDate t2In, RealMatrix matrix2, int order, Orbit orbitSatellite, double muValue) Constructor of the class CovarianceInterpolation

Uses of RealMatrix in fr.cnes.sirius.patrius.signalpropagation

Methods in fr.cnes.sirius.patrius.signalpropagation that return RealMatrix

Modifier and Type	Method and Description
RealMatrix	VacuumSignalPropagation.getdPropdPem() Getter for the propagation position vector derivatives wrt the emitter position express in the reference frame.
RealMatrix	VacuumSignalPropagation.getdPropdPem(Frame expressionFrame) Deprecated. as of 4.13
abstract RealMatrix	VacuumSignalPropagation.SignalPropagationRole.getdPropDPos(VacuumSignalPropagation signalPropagation) Getter for the propagation vector (from antenna to space object) partial derivatives matrix wrt the space object position in the reference frame at the emission or reception date depending on the SignalDirection value.
RealMatrix	VacuumSignalPropagation.getdPropdPrec() Getter for the propagation position vector derivatives wrt the receiver position express in the reference frame.
RealMatrix	VacuumSignalPropagation.getdPropdPrec(Frame expressionFrame) Deprecated. as of 4.13